|
|
 |
|
Viewing report
|
|
|
|
Automatic Keyword Extraction. Edition No. 1
VDM Publishing House, Nov 2008, Pages: 140
In order to make further progress in the field of
automatic text retrieval, approaches extending
current standard full text indexing methods need to
be investigated. This book advocates keyword indexing
as one such feasible approach. More specifically it
discusses the development of an algorithm for
automatic keyword extraction and presents a
number of experiments in which the performance of the
algorithm is incrementally improved. Automatic
keyword extraction is the task of automatically
selecting a small set of terms describing the content
of a single document. That a keyword is extracted
means that it is present verbatim in the document to
which it is assigned. The approach taken is that of
supervised machine learning, that is, prediction
models are constructed from documents with known
keywords. The work presented is linguistically
oriented in the sense that the output from natural
language processing tools is a considerable factor
both for the pre-processing of the data, as well as
for the performance of the prediction models. This is
a book for anybody in the field of language
technology who is interested in the applicable but
challenging area of automatic keyword indexing.
|
|
|
|
